Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices

Author:   Brij B. Gupta (National Institute of Technology Kurukshetra, India) ,  Quan Z. Sheng
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367780272


Pages:   352
Publication Date:   31 March 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices


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Author:   Brij B. Gupta (National Institute of Technology Kurukshetra, India) ,  Quan Z. Sheng
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.526kg
ISBN:  

9780367780272


ISBN 10:   0367780275
Pages:   352
Publication Date:   31 March 2021
Audience:   Professional and scholarly ,  General/trade ,  Professional & Vocational ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. Classical Machine-Learning Paradigms for Data Mining. Supervised Learning for Misuse/Signature Detection. Machine Learning for Anomaly Detection. Machine Learning for Hybrid Detection. Machine Learning for Scan Detection. Machine Learning for Profiling Network Traffic. Privacy-Preserving Data Mining. Emerging Challenges in Cybersecurity.

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Author Information

Brij B. Gupta received PhD degree from Indian Institute of Technology Roorkee, India in Information and Cyber Security. He published more than 175 research papers in International Journals and Conferences of high repute including IEEE, Elsevier, ACM, Springer, Wiley, Taylor & Francis, Inderscience, etc. He has visited several countries, i.e. Canada, Japan, Malaysia, Australia, China, Hong-Kong, Italy, Spain etc to present his research work. His biography was selected and published in the 30th Edition of Marquis Who's Who in the World, 2012. Dr. Gupta also received Young Faculty research fellowship award from Ministry of Electronics and Information Technology, Government of India in 2017. He is also working as principal investigator of various R&D projects. He is serving as associate editor of IEEE Access, IEEE TII, and Executive editor of IJITCA, Inderscience, respectively. At present, Dr. Gupta is working as Assistant Professor in the Department of Computer Engineering, National Institute of Technology Kurukshetra India. His research interest includes Information security, Cyber Security, Mobile security, Cloud Computing, Web security, Intrusion detection and Phishing. Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University. Before moving to Macquarie, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. From 1999 to 2001, Sheng also worked at UNSW as a visiting research fellow. Prior to that, he spent 6 years as a senior software engineer in industries. Prof. Sheng has more than 280 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences including ACM Computing Surveys, ACM TOIT, ACM TOMM, ACM TKDD, VLDB Journal, Computer (Oxford), IEEE TPDS, TKDE, DAPD, IEEE TSC, WWWJ, IEEE Computer, IEEE Internet Computing, Communications of the ACM, VLDB, ICDE, ICDM, CIKM, EDBT, WWW, ICSE, ICSOC, ICWS, and CAiSE. Dr. Michael Sheng is the recipient of the ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). He is a member of the IEEE and the ACM. Homepage: https://web.science.mq.edu.au/~qsheng/

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